|Year : 2015 | Volume
| Issue : 41 | Page : 196-207
Qualitative and quantitative determination of 15 main active constituents in Fructus Sophorae pill by liquid chromatography tandem mass spectrometry
Xu-ran Zhi1, Zhi-yong Zhang2, Pei-pei Jia2, Xiao-xu Zhang2, Lin Yuan2, Ning Sheng2, Lan-tong Zhang2
1 Department of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, 361 East Zhongshan Road, Shijiazhuang, Hebei 050017; Department of Pharmacy, Hebei General Hospital, Shijiazhuang, Hebei 050051, China
2 Department of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, 361 East Zhongshan Road, Shijiazhuang, Hebei 050017, China
|Date of Submission||26-Jan-2014|
|Date of Acceptance||27-Mar-2014|
|Date of Web Publication||21-Jan-2015|
Department of Pharmaceutical Analysis, School of Pharmacy, Hebei Medical University, 361 East Zhongshan Road, Shijiazhuang 050017
Source of Support: None, Conflict of Interest: None
| Abstract|| |
Background: Fructus Sophorae pill, one of the traditional Chinese medicine, was widely used for hemorrhoids, hypertension and odontalgia. This paper describes a sensitive and specific assay for the determination of the 15 active constituents (sophoricoside, genistin, genistein, rutin, quercetin, kaempferol, baicalein, baicalin, naringin, naringenin, hesperidin, neohesperidin, wogonin and cimifugin, prim-O-glucosylcimifugin) in Fructus Sophorae pill. Materials and Methods: Chromatographic separation was performed on a C 18 column with acidified aqueous methanol gradients at a ﬂow rate of 0.8 mL/min. The identiﬁcation and quantiﬁcation of the analytes were achieved by use of a hybrid quadrupole linear ion trap mass spectrometer. Multiple-reaction monitoring scanning was applied to quantiﬁcation with switching electrospray ion source polarity between positive and negative modes. Results: The proposed method was used to analyze 40 batches of samples with good linearity (r, 0.9990-0.9999), intraday precisions (RSD, 0.14-2.55%), interday precisions (RSD, 0.51-2.81%), stability (RSD, 0.31-2.65%), and recovery (RSD, 1.29-2.95%) of the 15 compounds. In addition, the hierarchical cluster analysis, including a method called furthest neighbor and nearest neighbor, was employed to classify samples according to characteristics of the 15 constituents. Conclusion: The results indicated that the analytical method was rapid, reliable, simple and suitable for the quality evaluation of Fructus Sophorae pill.
Keywords: Dosage form, Fructus Sophorae pill, Hierarchical cluster analysis, HPLC-ESI-MS/MS, Qualitative and quantitative determination
|How to cite this article:|
Zhi Xr, Zhang Zy, Jia Pp, Zhang Xx, Yuan L, Sheng N, Zhang Lt. Qualitative and quantitative determination of 15 main active constituents in Fructus Sophorae pill by liquid chromatography tandem mass spectrometry. Phcog Mag 2015;11:196-207
|How to cite this URL:|
Zhi Xr, Zhang Zy, Jia Pp, Zhang Xx, Yuan L, Sheng N, Zhang Lt. Qualitative and quantitative determination of 15 main active constituents in Fructus Sophorae pill by liquid chromatography tandem mass spectrometry. Phcog Mag [serial online] 2015 [cited 2020 Jul 2];11:196-207. Available from: http://www.phcog.com/text.asp?2015/11/41/196/149739
| Introduction|| |
Traditional Chinese medicine (TCM) is receiving more and more attention in the world due to its accurately clinical practice. Fructus Sophorae pill is an ancient TCM widely used all over the world, which is prepared from Fructus Sophorae (processing with stir-frying), charred Radix Sanguisorbae, Radix Scutellariae Baicalensis, Fructus Aurantii Submaturus (processing with stir-frying), Radix Angelicae Sinensis, and Radix Saposhnikoviae. Modern pharmacological and clinical studies have shown that some components in Fructus Sophorae pill possessed hemostatic properties, anticancer, anti-obesity, anti-hypertension and it is widely used for hemorrhoids, hypertension and odontalgia. , In Chinese medicines, some active constituents were usually regarded as index component for quality control of these Chinese prescriptions.  Up to now, baicalin was regarded as the index compound for the quality control of Fructus Sophorae pill which had been recorded in Chinese Pharmacopoeia.  The determination of major active components in Fructus Sophorae pill had been reported in several published papers, such as sophoricoside, genistein, quercetin, naringin and wogonin, using analytical methods including high performance liquid chromatography (HPLC), ,, high performance capillary electrophoresis (HPCE) , and thin layer chromatography (TLC) scanning.  However, these methods suffered from long run time, low resolution and sensitivity and few analytes. Quality control is one of the most important problems for the development and application of TCM, and manufacturers have played a particular consideration on its safety and efficacy. , The effect of a TCM always results from the synergy of multiple components, but the conventional quality control methods cannot represent the real quality of herb medicine. Because the methods are the simply quantitative analysis of a few or one component. So quantitative analysis of multiple components is becoming more and more indispensable for quality evaluation of TCM. Meanwhile, an increasing number of researchers have begun to use this technology in TCM, especially for Chinese prescriptions. ,, In order to further apply TCM and enhance the clinical safety, an reliable and accurate method based on the multiple constituents is needed to develop for quality evaluation of Fructus Sophorae pill. HPLC-MS/MS is a selective and sensitive detection method that can detect the trace amounts of constituents. It cannot only identify all the peaks of the analytes by comparison of precursor and production ions with standards, retention times but also provide adequate structural information.
Nowadays, we first validated and developed a accurate and simple HPLC-MS/MS method for simultaneous analysis of 15 main active constituents in Fructus Sophorae pill, including sophoricoside, genistein, genistin, quercetin, rutin and kaempferol in Fructus Sophorae, , baicalein, baicalin, wogonin in Radix Scutellariae Baicalensis, , naringin, naringenin, hesperidin, neohesperidin in Fructus Aurantii Submaturus, , and cimifugin, prim-O-glucosylcimifugin in Radix Saposhnikoviae.  Their structures are listed in [Figure 1]. With the development of this method, due to the high selectivity of the multiple-reaction monitoring (MRM) mode, optimization of chromatographic separation and the sample pre-processing are greatly simplified. In addition, the application of the parent and product ions monitoring are expected to identification of known molecules and increase the specificity of detection.  In order to reduce the analysis time, an electrospray ionization source was operated in positive and negative mode at the same time. To the best of our knowledge, the new method provides the best specificity and sensitivity for determination of 15 active constituents in Fructus Sophorae pill. In addition, Fructus Sophorae pill involved two dosage forms, including honeyed pills and water-honeyed pills, which were acquired from different pharmaceutical companies in China. It is necessary to comprehensively control the quality of Fructus Sophorae pill with an effective statistical method. Thus, 40 batches of Fructus Sophorae pill were first detected by the developed method combined with hierarchical clustering analysis (HCA) to illustrate the difference among various samples and find unqualified manufacture corporation, and ensure its safety and efficacy.
|Figure 1: The chemical structures of the 15 compounds in Fructus Sophorae pill|
Click here to view
| Materials and methods|| |
Chemicals and materials
HPLC-grade methanol was provided by J. T. Baker (Philipsburg, USA). Puriﬁed water was purchased from Wahaha (Hangzhou Wahaha Group Co., Ltd.). Analytical-grade methanol, used for sample preparation, was obtained from Tianjin Chemical (Tianjin, China). HPLC-grade formic acid was provided by Dikma Technology Corporation (Lake Forest, USA).
Sophoricoside (11061521), genistein (11012521), genistin (11080316) and kaempferol (11042524) were provided by Shanghai Tauto Biotech Co., Ltd., China. Quercetin (100081-200406), rutin (100080-200707), and baicalin (715-200010) were purchased from National Institute for the Control of Pharmaceutical and Biological Products. The standards including baicalein (FY12970712), wogonin (12930717), naringin (FY17910711), naringenin (FY17900719), hesperidin (FY11290618), neohesperidin (FY11300518), cimifugin (FY16230608), prim-O-glucosylcimifugin (FY16220622) were provided by Nantong Feitu Biological Technology Co., Ltd. The purities of the above components were more than 98% according to HPLC analysis.
The 40 batches of Fructus Sophorae pill were obtained from different manufacturers in China: Taifu Pharmaceutical Co., Ltd. (samples 1-10), Taiji Pharmaceutical Co., Ltd. (samples 11-18), Wanghe Pharmaceutical Co., Ltd. (samples 19-20), Huakang Pharmaceutical Co., Ltd. (samples 21), Daren Tang Pharmaceutical Co., Ltd. (samples 22-27), Puji Tang Pharmaceutical Co., Ltd. (samples 28-32), Sanjiu Pharmaceutical Co., Ltd. (samples 33-35), Shuangren Pharmaceutical Co., Ltd. (samples 36-38), Pingguang Pharmaceutical Co., Ltd. (samples 39-40). These samples referred to two dosage forms, including 21 batches of water-honeyed pills (marked as samples 1-21) and 19 batches of honeyed pills (marked as samples 22-40).
Standard solutions and sample preparation
The appropriate amount of standards were accurately weighed and dissolved in methanol as 15 components of stock solutions, respectively. In order to make the calibration curve, stock solutions were diluted to provide a series of standard solutions with gradient concentration. We also prepared the mixture of the standards stock solution. All the solutions were kept in a refrigerator at 4°C for analysis.
All the samples were cut into pieces and milled into the homogeneous size. 0.5 g pulverized powder was accurately weighed and ultrasonically extracted (30 min) with 30 mL 75% methanol in a conical ﬂask. And the extracted solution cooled at room temperature, and then was adjusted to the original weight by adding 75% methanol. Before HPLC injection, the supernatant was ﬁltered by a 0.45 μm microporous membrane.
Instrumentation and analytical conditions
For quantitative analysis of the 15 components, all experiments were executed in positive and negative mode at the same time by using an Agilent Series 1200 liquid chromatograph (Agilent, USA) equipped with a binary pump, an autosampler and a vacuum degasser, connected to a 3200 QTRAP TM system (Applied Biosystems, Foster City, CA, USA) from Applied Biosystems/MDS Sciex, TurboIonspray interface and a hybrid triple quadrupole linear ion trap mass spectrometer equipped with TurboV sources.
The chromatographic separation was carried out at 30°C on a Diamonsil C 18 column (150 × 4.6 mm, 5 μm). The mobile phase consisted of A (methanol) and B (0.3‰ aqueous formic acid). The elution program was optimized as follows: With the range of 0-8 min, 25%-45% A; 8-18 min, 45%-65% A; 18-27 min, 65%-95% A; 27-30 min, and 95%-95% A. Before inject each sample, this was followed by the equilibration period of 6 min. The ﬂow rate of mobile phase was kept at 0.8 mL/min. And the injection volume was 10 μL.
The operating conditions for the ESI interface were as follows: The turbo spray temperature was 650°C; the ion spray voltage was set to 5500-4500 V, respectively; the curtain gas was set at 25 arbitrary units; nebuliser gas (gas 1) and heater gas (gas 2) were kept at 60 and 65 arbitrary units, respectively. Entrance potential (EP) and Collision cell exit potential (CXP) were set at 10.0/-10.0 V and 5.0/-5.0 V, respectively. The full-scan mass covered the range from m/z 100 to 1000. Declustering potential (DP), collision energy (CE) and the precursor-to-product ion pairs, for each component are listed in [Table 1]. Other parameters were also optimized for maximum abundance of the ion of interest by the automatic tuning procedure of the instrument. All resute were synchronized and controlled by Analyst software (Versions 1.5.2, Applied Biosystems/MDS Sciex).
|Table 1: HPLC-ESI-MSn data of the 15 components from Fructus Sophorae pill |
Click here to view
We utilized an external standard method for the quantification. The standard solution was applied to generate a series of concentrations by diluting with methanol. The calibration curves consisted of six different concentrations for each reference analyte in triplicate. The linearity of each calibration curves was constructed by plotting the peak areas of the reference analytes. LOQ and LOD under the chromatographic conditions used were separately determined at S/N of 10 and 3, respectively. For each target component, the stock solutions mentioned above were diluted with methanol to a series of appropriate concentrations. And an aliquot of the diluted solutions was injected into HPLC for determination to analyse the LOQ and LOD.
Determining the precision of the method utilized measurement of intra- and inter-day variability. Measurement of intra-day precision was performed in six replications prepared from the Fructus Sophorae pill sample 22 on the same day, while the inter-day variability was performed over three consecutive days. The relative standard deviation (RSD) was taken as a measurement of precision. To evaluate sample stability, the sample solution was tested at room temperature and analyzed in triplicate every 8 h within 48 h.
Accuracy of the method was evaluated by spiking the 15 compounds with three different concentration levels (low, middle and high) to the known amounts of Fructus Sophorae pill. Then the resultant samples were analyzed and extracted with the method. Average recoveries were evaluated via the following equation: Recovery (%) = (amount found − original amount)/amount spiked × 100%, and RSD (%) = (SD/mean) ×100%.
Matrix effects are an inherent aspect of electrospray ionization because matrix components can analyte ionization efficiency (competing ions) and affect the properties of the droplets (e.g. viscosity changes).  In this study, sample 22 was operated as described in "sample preparation", then 15 mL of the extract was spiked with a one-fold mixed standard solution of the 15 compounds at three concentration levels (low, middle and high). And another 15 mL of the extract was diluted one-fold with 75% methanol. Each level prepared triplicate samples.
Matrix effect was determined via the following equation:
Matrix effect (%) = (A - B)/C × 100%
A: The peak area of the analyte in the spiked sample matrix. B: The peak area of the analyte in the unspiked sample matrix. C: The peak area of the standard solutions in 75% methanol at the same concentrations.
Chemometric data analysis
In this study, HCA, including a method called furthest neighbor and nearest neighbor, was employed to classify samples according to characteristics of the 15 constituents. And HCA of 40 samples were performed by using SPSS software (SPSS Statistics 19, SPSS Inc., USA).
| Results and discussion|| |
Optimization of the extraction conditions
A variety of times, solvents and extraction methods were determined to acquire the best extraction efficiency. Ultrasonic bath extraction has advantages to refluxing extraction, such as less solvent, rapidness and convenience. And it is a commonly used extraction method for quantitative determination of TCM. Therefore, extraction method chosen ultrasonic bath extraction. To assess the optimal duration of extraction and solvent ratio, a comparative study on different water-methanol mixtures containing 25%, 50%, 75% and 100% (v/v) methanol was performed with ultrasonic bath extraction. The results indicated that 75% methanol showed the highest extraction efficiency and most suitable. To screen optimal extraction time, the samples were extracted with 75% methanol for 15, 30, 45 and 60 min. The results showed that 15 analytes were completely extracted within 30 min. Finally, extraction with 75% methanol in an ultrasonic bath for 30 min was adopted.
Optimization of the chromatographic and mass spectrometric conditions
The precursor ions and product ions of the 15 reference analytes were clearly obtained in MS1 (Q1) and MS2 (product ion) mode by infusing individual standard solutions at a flow rate of 10 μL/min. The conditions of mass spectral were achieved in both positive and negative mode in a single run, and the ionization of the wogonin, cimifugin and prim-O-glucosylcimifugin responded much better in positive ion mode than negative ion mode, whereas the others was more efficient in negative ion mode. For this reason, the mass spectral conditions were optimized in positive- and negative-ion modes at the same time. To get the richest relative abundance of precursor and product ions and obtain the maximum sensitivity of [M-H]− , [M + H] + , the parameters of CE and DP were optimized. The highest peak intensity was the base for selecting the ions used for quantitative analysis.
On the analytes, neohesperidin and hesperidin are isomers with identical product ion of 301.0.  Genistin and sophoricoside are structural isomers, then genistein is the hydrolysis product of them.  Therefore, the optimization of the LC conditions was the important key to achieving the better resolution of adjacent peaks. Different mobile phase compositions were optimized in view of obtaining shorter analysis time, higher peak responses and good peak shape of target analytes in chromatograms. acetonitrile-water and methanol-water were compared, but no obvious differences were observed. Because of the high-price and high-toxicity of acetonitrile, methanol-water was selected. The effect of different buffers was tested, including ammonium acetate (0.5, 1, and 2 mmol/L), acetic acid (0.1 ‰, 0.3‰, 0.5 ‰, and 1‰), and formic acid (0.1‰, 0.3‰, 0.5‰, and 1‰). The results indicated that formic acid could eliminate the peak tailing of the target analytes and more enhance the resolution by comparing with ammonium acetate and acetic acid. And the mobile phase with 0.3‰ formic acid could improve the ionization efficiency. In addition, other chromatographic conditions were also evaluated, including flow rates (0.8 and 1.0 mL/min), column temperatures (25°C and 30°C) and analytical columns (Sapphire C 18 column and Diamonsil C 18 column). Eventually, the optimal condition of the Diamonsil C 18 column (150 × 4.6 mm, 5 mm) with the flow rate of 0.8 mL/min at the column temperature of 30°C was beneficial for improving the ionization of analytes detected mode and could reproducible retention time and guarantee sharp peak shape. The typical extract ions chromatograms (XIC) of MRM chromatograms of standards and sample are shown in [Figure 2].
|Figure 2: Representative extraction chromatograms (XIC) of multiple-reaction monitoring (MRM) chromatograms of sophoricoside, genistin, genistein, rutin, quercetin, kaempferol, baicalein, baicalin, wogonin, naringin, naringenin, hesperidin, neohesperidin, cimifugin and prim-O-glucosylcimifugin (A) standards; (B) samples; (C) monitored MRM transitions of 15 standards|
Click here to view
Analytical method validation
The linear regression results indicate good linear correlation. The correlation coefficients (r) for all the analytes in the concentration range were >0.9990. LOQ and LOD expressed by 10- and 3-fold of the ratio of the S/N were also obtained, respectively. Detailed information regarding linear ranges, calibration curves, LOQ and LOD is listed in [Table 2].
The overall interday and intraday precisions for the targeted analytes were less than 2.81% and 2.55%, respectively. The average recovery was in the range of 97.25%-102.8% with RSD ranging from 1.29% to 2.95% characterizing good reliability and accuracy of the method. The detailed data are given in [Table 3]. When the solution was kept at room temperature, all investigated components were stable within 48 h (RSD < 2.65%). The matrix effect results indicated that the method is no signiﬁcant matrix effect. These results showed that the established assay was a useful and reliable method for evaluation of the quality of Fructus Sophorae pill.
|Table 3: Intra- and inter-assay and accuracy of the 15 active components |
Click here to view
Quantitative analysis of samples
The developed analytical method was subsequently applied for the determination of 15 investigated analytes in 40 batches of Fructus Sophorae pill. The analysis time was reduced to 30 min in a single run by switching the ion source polarity between positive and negative modes. In addition, MRM scanning mode provided good sensitivity because it accordingly enhanced the response of analytes and signiﬁcantly reduced the noise levels. Therefore, some minor components in Fructus Sophorae pill could also be accurately checked out. The calibration curves were used for the quantitative determination of 15 compounds. The detailed contents are listed in [Table 4]. It is found that the total contents of samples in the range of 17.68-42.50 mg/g. It demonstrated that Fructus Sophorae pill samples were obviously different. Samples 17, 32, and 21 had the highest total contents (42.50, 41.97 and 41.33 mg/g), while samples 3, 9, and 5 had the lowest total contents (17.68, 18.16 and 18.38 mg/g). By dealing with the data, the mean value of the total contents of 40 batches samples was 29.62 mg/g. Among them, sophoricoside was the highest investigated components, and the mean content was 16.08 mg/g; secondly, baicalin was 7.01 mg/g and follow by hesperidin at 2.48 mg/g. On the other hand, the contents of naringenin, quercetin, and cimifugin were relatively low. Neohesperidin was not detected in samples 1-18, 33-35 and 39-40. Meanwhile, multiple active components, including micro and macro components, are frequently considered to be responsible for the therapeutic effects, and therefore the analysis of multiple components is more reasonable for quality evaluation of Fructus Sophorae pill. These results indicated that the distinctions of the contents of 15 investigated analytes were apparent in the samples from different companies or even different batches from the same company. Thus, it was a efficient and reliable method as a simultaneous analysis of multiple constituents in Fructus Sophorae pill.
HCA is a statistical method for ﬁnding relatively homogeneous clusters of cases based on measured characteristics and has been widely utilized to quality control, origin discrimination and species authentication of TCM. , This method begins with each observation being regarded as a separate cluster, and then combines them until all observations group to one cluster. The hierarchical clustering process can be represented as a dendrogram or tree, where each step in the clustering process is illustrated by a connection of the tree.  In this study, HCA with two methods, furthest neighbor and nearest neighbor were applied to classify the Fructus Sophorae pill samples from different companies. The clustering results illustrated are shown in [Figure 3]. It was found that the two clustering methods can obtain nearly identical data, that is, all the measured samples were falled into three clusters: Sample 21 (Huakang), sample 28-32 (Puji Tang) and sample 36-38 (Shuangren) were in cluster A, sample 11-18 (Taiji) were in cluster B and the other samples were in cluster C, which was further divided into two subgroups (C 1 and C 2 ). Sample 1-10 (Taifu) were in subgroup C 1, and the others were in subgroup C 2 , formed by the sample 1-10 (Taifu), sample 19-20 (Wanghe), sample 22-27 (Daren Tang), sample 33-35 (Sanjiu) and sample 39-40 (Pingguang). These samples could be obviously classiﬁed to a identical group, no matter what chemometric method is applied. More importantly, this division and distinction clearly demonstrated that chemical proﬁles from the same company were nearly identical, whereas chemical proﬁles from different companies produced signiﬁcant difference. Furthermore, these samples involved two different dosage forms, including water-honeyed pills (samples 1-21) and honeyed pills (samples 22-40). It is demonstrated in [Figure 3] that there is no signiﬁcant variations in terms of content between water-honeyed pills and honeyed pills.
|Figure 3: Dendrograms of hierarchical clustering for the 40 tested samples of Fructus Sophorae pill and its confused plants using nearest neighbor (1) and furthest neighbor (2) methods|
Click here to view
| Conclusions|| |
A selective, sensitive and rapid HPLC- MS/MS method performing in both positive and negative modes at the same time has been firstly validated and developed for the separation and quantitative analysis of 15 components of Fructus Sophorae pill. The developed method was successfully applied for determination of 40 batches of Fructus Sophorae pill from different companies. The results demonstrated that the contents of 15 investigated analytes were distinct from different companies or even different batches from the same company. But chemical proﬁles were nearly identical in the same company by HCA. The HPLC-MS/MS method offered a good alternative for routine analysis of TCM and could be applied as a reliable quality-control method for Fructus Sophorae pill.
| Acknowledgements|| |
The work received financial support from the Natural Science Foundation of Hebei Province- CSPC Pharmaceutical Joint Research Fund, China (H2012206079).
| References|| |
Pharmacopoeia Commission of PRC, editors. Pharmacopoeia of the People's Republic of China. Vol. 1. Beijing: China Medical Science Press; 2010. p. 1182-3.
Kite GC, Veitch NC, Boalch ME, Lewis GP, Leon CJ, Simmonds MS. Flavonol tetraglycosides from fruits of Styphnolobium japonicum
(Leguminosae) and the authentication of Fructus Sophorae
and Flos Sophorae
. Phytochemistry 2009;70:785-94.
Wang HL, Duan FY, Ding JH, Li CE. Research progress of Huaijiao Pills. Prog Mod Biomed 2007;7:793-5.
Yang R, Zeng HJ, Wang QW, Guo C, Li JJ, Qu LB. Simultaneous determination of eight active components in Chinese medicine 'JiangYaBiFeng' tablet by HPLC coupled with diode array detection. J Pharm Biomed Anal 2011;55:552-6.
Wei LX, Wang MD, Zhang Y, Wang G, Xue XQ, Zhao QH. Simultaneous determination of four effective components in Huaijiao Pills by RP-HPLC. Chin Pharm J 2011;46:549-52.
Meng J, Wang JL. Simultaneous determination of sophoricoside, wogonin and naringin in Huaijiao Pills by HPLC. J Chin Med Mater 2011;34:638-9.
Bian QQ, Yang PZ. Determination of genistein and quercetin in Huaijiao Pills by RP-HPLC. Chin Tradit Pat Med 2005;27:766-9.
Gao YS, Dang CG, Li H. Determination of four effective components in Huaijiao Pills by HPCE. Chin J Pharm 2007;38:290-2.
Sun L, Zheng BJ, Suo RZ. HPCE analysis of geulstein in Huaijiao Pills. Chin J Pharm Anal 2004;24:361-2.
Pan JW, Zhang TZ, Zheng LJ. Quantitative determination of genistin and total genistein in the fruit of Fructus Sophorae
and Huaijiao Pills by TLC scanning method. Chin J Anal Lab 2004;23:25-7.
Li SP, Zhao J, Yang B. Strategies for quality control of Chinese medicines. J Pharm Biomed Anal 2011;55:802-9.
Liang XM, Jin Y, Wang YP, Jin GW, Fu Q, Xiao YS. Qualitative and quantitative analysis in quality control of traditional Chinese medicines. J Chromatogr A 2009;1216:2033-44.
Jiang Y, David B, Tu PF, Barbin Y. Recent analytical approaches in quality control of traditional Chinese medicines. Anal Chim Acta 2010;657:9-18.
Sanchez-Avila N, Priego-Capote F, Ruiz-Jimenez J, Luque de Castro MD. Fast and selective determination of triterpenic compounds in olive leaves by liquid chromatography-tandem mass spectrometry with multiple reaction monitoring after microwave-assisted extraction. Talanta 2009;78:40-8.
Yin LH, Lu BN, Qi Y, Xu LN, Han X, Xu YW, et al
. Simultaneous determination of 11 active components in two well-known traditional Chinese medicines by HPLC coupled with diode array detection for quality control. J Pharm Biomed Anal 2009;49:1101-8.
Chang L, Ren YP, Cao L, Sun YG, Sun Q, Zhang LT. Simultaneous determination and pharmacokinetic study of six ﬂavonoids from Fructus Sophorae
extract in rat plasma by LC-MS/MS. J Chromatogr B 2012;904:59-64.
Wei MH, Wang BJ. The study in the development of the traditional Chinese medicine Fructus Sophorae
. Asia Pac Tradit Med 2010;6:115-9.
Kim YH, Jeong DW, Paek IB, Ji HY, Kim YC, Lee HS. Liquid chromatography with tandem mass spectrometry for the simultaneous determination of baicalein, baicalin, oroxylin A and wogonin in rat plasma. J Chromatogr B 2006;844:261-7.
Liu WD, Yan LG, Fang Y, Liu MS. Utility of UPLC-ESI-TOF/MS for rapid analysis of the constituents in Scutellariae Radix
. Inf Tradit Chin Med 2012;29:20-4.
Jia Q, Bai Y, Ma Y, Pang W, Su WW. Chemical constituents of Fructus Aurantii
and Fructus Aurantii Immaturus
by HPLC-ESI-MS. China Tradit Herb Drugs 2005;36:169-72.
Li XL, Xiao HB, Liang XM, Shi DZ, Liu JG. LC-MS/MS determination of naringin, hesperidin and neohesperidin in rat serum after orally administrating the decoction of Bulpleurum falcatum
L. and Fractus aurantii
. J Pharm Biomed Anal 2004;34:159-66.
Kim MK, Yang DH, Jung M, Jung EH, Eom HY, Han SB. Simultaneous determination of chromones and coumarins in Radix Saposhnikoviae
by high erformance liquid chromatography with diode arrayand tandem mass detectors. J Chromatogr A 2011;1218:6319-30.
Sun DX, Dong LX, Guo PP, Shi XW, Gao J, Wang CY, et al
. Simultaneous detection of flavonoids and phenolic acids in Herba Lysimachiae
and Herba Desmodii Styracifolii
using liquid chromatography tandem mass spectrometry. Food Chem 2013;138:139-47.
Hyeyoung K, Steven JL, Lucía GA. Variability of matrix effects in liquid and gas chromatography-mass spectrometry analysis of pesticide residues after QuEChERS sample preparationof different food crops. J Chromatogr A 2012;1270:235-45.
Tong L, Zhou DD, Gao J, Zhu YH, Sun H, Bi KS. Simultaneous determination of naringin, hesperidin, neohesperidin, naringenin and hesperetin of Fractus aurantii
extract in rat plasma by liquid chromatography tandem mass spectrometry. J Pharm Biomed Anal 2012;58:58-64.
Chen CY, Zhou JE, Yan GF, Zhang J, Du N, Lu Y. Metabolism of sophoricoside in homogenized liver of rats. J Shanghai Jiaotong Univ Med Sci 2005;25:232-4.
Kong WJ, Wang JB, Zang QC, Xing XY, Zhao YL, Liu W. Fingerprint-efﬁcacy study of artiﬁcial Calculus bovis
in quality control of Chinese materia medica. Food Chem 2011;127:1342-7.
Qiao S, Shi R, Liu M, Zhang C, Yang W, Wang Q. Simultaneous quantiﬁcation of ﬂavonoids and phenolic acids in Herba Scutellariae barbatae
and its confused plants by high performance liquid chromatography-tandem mass spectrometry. Food Chem 2011;129:1297-304.
Zhao Y, Zhou X, Chen HG, Gong XJ, Cai ZW, Zhou CY. Determination of dehydroevodiamine in Evodia rutaecarpa
(Juss.) Benth by high performance liquid chromatography and classiﬁcation of the samples by using hierarchical clustering analysis. Fitoterapia 2009;80:415-20.
[Figure 1], [Figure 2], [Figure 3]
[Table 1], [Table 2], [Table 3], [Table 4]
|This article has been cited by|
||Identification of the constituents and metabolites in rat plasma after oral administration of HuanglianShangqing pills by ultra high-performance liquid chromatography/quadrupole time-of-flight mass spectrometry
| ||Ma Huiling,Yang Liu,Xi Mai,Yijing Liao,Kai Zhang,Bin Liu,Xin Xie,Qiaoli Du |
| ||Journal of Pharmaceutical and Biomedical Analysis. 2016; |
|[Pubmed] | [DOI]|
||An effective identification and quantification method for Ginkgo biloba flavonol glycosides with targeted evaluation of adulterated products
| ||Yuan-Chun Ma,Ana Mani,Yaling Cai,Jaclyn Thomson,Jie Ma,Flavie Peudru,Sarah Chen,Mai Luo,Junzeng Zhang,Robert G. Chapman,Zhen-Tuo Shi |
| ||Phytomedicine. 2016; 23(4): 377 |
|[Pubmed] | [DOI]|
||Effective screening for the anti-hypertensive of selected herbs used in the traditional Korean medicines
| ||Ji Yeon Kim,Doram Kim,Oran Kwon |
| ||Applied Biological Chemistry. 2016; |
|[Pubmed] | [DOI]|
||A novel UPLC-MS/MS method for simultaneous determination of 10 effective constituents in the Jixingshizhen preparation
| ||Kunna Cui,Shuo Sun,Ping Wang,Linda Luo,Jia Yu,Xingjie Guo |
| ||Biomedical Chromatography. 2016; |
|[Pubmed] | [DOI]|
||High-performance liquid chromatography coupled with tandem mass spectrometry technology in the analysis of Chinese Medicine Formulas: A bibliometric analysis (1997-2015)
| ||Xi-Ran He,Chun-Guang Li,Xiao-Shu Zhu,Yuan-Qing Li,Mariam Jarouche,Alan Bensoussan,Ping-Ping Li |
| ||Journal of Separation Science. 2016; |
|[Pubmed] | [DOI]|